ComfyUI  >  Nodes  >  ComfyUI-Image-Filters >  Image Constant Color (HSV)

ComfyUI Node: Image Constant Color (HSV)

Class Name

ImageConstantHSV

Category
image/filters
Author
spacepxl (Account age: 295 days)
Extension
ComfyUI-Image-Filters
Latest Updated
6/22/2024
Github Stars
0.1K

How to Install ComfyUI-Image-Filters

Install this extension via the ComfyUI Manager by searching for  ComfyUI-Image-Filters
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-Image-Filters in the search bar
After installation, click the  Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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Image Constant Color (HSV) Description

Generate constant color images using HSV model for AI art projects, offering precise control over color output.

Image Constant Color (HSV):

The ImageConstantHSV node is designed to generate images with a constant color defined by the HSV (Hue, Saturation, Value) color model. This node is particularly useful for creating uniform backgrounds or overlays in your AI art projects. By specifying the hue, saturation, and value, you can precisely control the color output, making it a versatile tool for various artistic needs. The node allows you to generate images of specified dimensions and batch sizes, ensuring that you can create consistent and repeatable color patterns across multiple images.

Image Constant Color (HSV) Input Parameters:

width

The width parameter defines the width of the generated image in pixels. It accepts integer values with a default of 512, a minimum of 1, and a maximum defined by MAX_RESOLUTION. Adjusting this parameter will change the horizontal size of the output image.

height

The height parameter specifies the height of the generated image in pixels. Similar to the width parameter, it accepts integer values with a default of 512, a minimum of 1, and a maximum defined by MAX_RESOLUTION. This parameter controls the vertical size of the output image.

batch_size

The batch_size parameter determines the number of images to generate in one batch. It accepts integer values with a default of 1, a minimum of 1, and a maximum of 4096. This is useful for generating multiple images with the same settings in a single operation.

hue

The hue parameter sets the hue component of the HSV color model. It accepts floating-point values ranging from 0.0 to 1.0, with a default of 0.0. The hue determines the color type, such as red, green, or blue, and is represented as a position on the color wheel.

saturation

The saturation parameter controls the saturation level of the color. It accepts floating-point values from 0.0 to 1.0, with a default of 0.0. Saturation defines the intensity or purity of the color, where 0.0 is grayscale and 1.0 is the most vivid color.

value

The value parameter sets the brightness of the color. It accepts floating-point values from 0.0 to 1.0, with a default of 0.0. The value component determines how light or dark the color appears, with 0.0 being completely black and 1.0 being the brightest possible color.

Image Constant Color (HSV) Output Parameters:

IMAGE

The IMAGE output parameter provides the generated image(s) with the specified HSV color. The output is a tensor containing the image data, which can be used directly in further processing or as a final output in your AI art projects. The image will have the dimensions and batch size specified in the input parameters.

Image Constant Color (HSV) Usage Tips:

  • To create a uniform background, set the width and height to match your canvas size and adjust the hue, saturation, and value to achieve the desired color.
  • Use the batch_size parameter to generate multiple images with the same color settings, which can be useful for creating consistent elements across different parts of your project.

Image Constant Color (HSV) Common Errors and Solutions:

Latent shape mismatch: <new_shape> and <orig_shape>

  • Explanation: This error occurs when there is a mismatch in the shape of the latent samples between the new and original images.
  • Solution: Ensure that the dimensions of the new and original images match before attempting to generate the image. Adjust the width, height, and batch_size parameters accordingly.

ValueError: Expected input batch_size (N) to match target batch_size (N)

  • Explanation: This error indicates that the batch size of the input does not match the expected batch size.
  • Solution: Verify that the batch_size parameter is set correctly and matches the expected input size for the operation. Adjust the batch size if necessary to ensure consistency.

Image Constant Color (HSV) Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI-Image-Filters
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